Cloud Bioinformatics in a Private Cloud Deployment

Cloud Bioinformatics in a Private Cloud Deployment

Victor Chang (Leeds Metropolitan University, UK)
DOI: 10.4018/978-1-4666-4619-3.ch011
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This chapter describes service portability for a private cloud deployment, including a detailed case study about Cloud Bioinformatics services developed as part of the Cloud Computing Adoption Framework (CCAF). The Cloud Bioinformatics design and deployment is based on Storage Area Network (SAN) technologies, details of which include functionalities, technical implementation, architecture, and user support. Bioinformatics applications are written on the SAN-based private cloud, which can simulate complex biological sciences and present them in a way that anyone without prior knowledge can understand. Several bioinformatics results are discussed, particularly brain segmentation, which demonstrates different parts of the brain simulated by the private cloud. In addition, benefits of CCAF are illustrated using several bioinformatics examples such as tumour modelling, brain imaging, insulin molecules, and simulations for medical training. The Cloud Bioinformatics solution offers cost reduction, time-saving, and user friendliness.
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1. Introduction

Healthcare informatics has played a strategic role in the National Health Service (NHS) and has been influential to the way in the IT project development for different NHS Trusts. The ICT initiatives include Cloud Computing, which has investigations to understand how to process with Cloud adoption and the capacity to maximise the added value as a result of Cloud adoption. Cloud Computing offers a variety of benefits including cost-saving, agility, efficiency, resource consolidation, business opportunities and Green IT (Chang et al., 2010 a; 2010 b; 2011 a; 2011 b; 2011 c; 2012 a; 2012 b; 2012 c; 2013 a; 2013 b; Kangermann et al., 2011). As more organisations adopt Cloud, the need for a standard, or a framework to manage both operation management and IT services is emerging. This framework needs to provide the structure necessary to ensure any Cloud implementation meets the business needs of industry and academia and include recommendations of best practices which can be adapted for different domains and platforms. Our framework is called the Cloud Computing Adoption Framework (CCAF). It helps organisations to achieve good Cloud design, implementation and services (Chang et al., 2011 a; 2011 b; 2011 c; 2011 d; 2011 e; 2012 a; 2012 b; 2012 c; 2013 a; 2013 b; Chang and Wills, 2013; Chang, 2013 a; 2013 b; 2013 c). CCAF may be used from service strategy to design, development, test and user support stages. The CCAF seeks to address two problems in particular:

  • Calculating risk and return analysis of a large computer system adoption such as Cloud adoption systematically and coherently.

  • Risk mitigation to migration of the Cloud.

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